通过人工智能驱动的个性化体育炼和正念干预系统优化大学生学术表现和心理健康
Ke Zhang1, Meng Yang2, Liying Li3
1College of Education, Hebei University, Hebei, Baoding 071000, China. celestezhang1211@163.com.
人工智能通过个性化炼和正念来提高大学生的学业表现和福祉. 这种人工智能系统为教育环境中量身定制的健康干预提供了一个新的框架.
科学领域:
- 数字健康数字健康
- 教育中的人工智能
- 学生福利 学生福利
背景情况:
- 大学学生面临着影响学业成绩和心理健康的挑战.
- 个性化干预越来越多地被认为具有解决学生个体需求的潜力.
- 整合体育炼和正念提供了一个整体的方法来支持学生.
研究的目的:
- 为大学生评估人工智能驱动的个性化干预系统.
- 评估人工智能个性化炼和正念对学业成绩和心理健康的影响.
- 将AI个性化干预与标准化干预和对照组进行比较.
主要方法:
- 一项为期16周的受控干预研究,涉及328名本科生.
- 三组:人工智能个性化干预,标准化干预和控制.
- 机器学习算法分析了学生的数据,以生成量身定制的炼和正念建议.
主要成果:
- 人工智能个性化组在GPA (10.28%),压力减轻 (36.7%) 和心率变化 (HRV) (28.4%) 中显著改善.
- 人工智能驱动的干预措施在学术,心理和生理学指标上表现优于标准化干预和控制组.
- 干预的坚持,改善睡眠质量和减少压力是与积极结果相关的关键因素.
结论:
- 以人工智能为动力的个性化干预,整合炼和正念,可以有效地提高大学生的学业表现和心理健康.
- 混合神经网络架构为学术环境中的个性化健康干预提供了一个可扩展的框架.
- 需要进一步的跨文化验证,以将研究结果推广到研究的中国大学特定背景之外.
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